OpenAI Whisper API
Open-source speech-to-text transcription in 99 languages
OpenAI’s Whisper API provides state-of-the-art automatic speech recognition (ASR) for 99 languages at $0.006 per minute. Based on the open-source Whisper large-v2 model, it handles accents, background noise, and technical vocabulary robustly. Supports transcription and translation to English. Available as both a hosted API and a self-hostable open-source model. Widely used for transcription services, voice assistants, meeting summarization, and accessibility applications.
API Details
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Frequently Asked Questions
You can upload standard audio and video files, like MP3s or MP4s, to instantly generate highly accurate text. It is built to recognize different speakers, cut through background noise, and handle heavy technical jargon, making it incredibly useful for transcribing podcast interviews or expert panels for your AI and economy website.
The pricing is incredibly affordable, operating on a pay-as-you-go model that currently charges less than a cent per minute of processed audio. This makes it a highly cost-effective way to transcribe massive amounts of research interviews or market analysis without having to set up and manage your own expensive servers.
Yes, the model is trained on a massive amount of multilingual data and supports nearly one hundred different languages. You can even use it to automatically translate foreign audio directly into English text, which is a massive time-saver when you are sourcing international global outlook reports to eventually localize for your German, Spanish, French, Brazilian Portuguese, and Chinese audiences.
The main restriction to keep in mind is that the API only accepts files up to twenty-five megabytes per request. If you are trying to transcribe a lengthy two-hour crypto debate, your PHP code will simply need to chop that large audio file into smaller chunks before sending it over to the service.
